Program Overview

Introduction to the Scientific Computing Master's Program

The Scientific Computing Master's program at Heidelberg University focuses on developing applied mathematics methods and algorithms, implementing these methods using modern computing technologies, and applying them to real-world problems. This program combines specialist knowledge with a pronounced research orientation, enabling students to directly apply newly learned methods to solve application questions.

Program Overview

• The program is aimed at Bachelor graduates with a degree in computer science, mathematics, physics, or engineering with an advanced level of English.
• It is part of the Faculty of Mathematics and Computer Science and benefits from Heidelberg University's participation in the 4EU+ European University Alliance, offering opportunities for exchange with international partners.
• Students can integrate a semester abroad or participation in international courses into their study program, which can be funded by Erasmus+ and may lead to a double degree in cooperation with a partner university.

Facts and Formalities

• Degree: Master of Science
• Type of Programme: Consecutive
• Start of Programme: Winter and summer semester
• Standard Period of Study: 4 semesters
• Language(s) of Instruction: English, partially German
• Fees and Contributions: 161.10 € / Semester
• Application Procedure: Consecutive master’s programmes with access restriction
• Application Deadlines: Information about deadlines can be obtained after compiling a degree program.
• Part-time Option: Yes
• Can be Completed Entirely in English: Yes
• International Degree Program: Yes

Course Content

This research- and application-oriented Master's program focuses on the mathematical specialization area of Scientific Computing. Students acquire in-depth specialist knowledge and scientific methodological competence in mathematics and computer science, including:

• Numerical methods for ODE and PDE
• Statistics and data analysis
• Differential geometry and computer algebra
• Linear and nonlinear optimization methods
• Computational methods in fluid dynamics
• Parallel computing
• Scientific visualization
• Mixed/Whole Number programming
• Spatial databases

Course Structure

• Students complete advanced lectures, seminars, and practicals from elective areas of mathematics and computer science.
• They compile their own study plan according to their interests, setting their own study focus.
• Courses in the chosen area of application impart competencies for the practical use of Scientific Computing.
• A practical stay in a research group prepares students for writing their Master's thesis.
• The recognition of interdisciplinary competencies, such as an industrial internship, further enhances the professional profile of graduates.

Research and Career Opportunities

The program prepares students for complex activities in industries such as software, technology, and finance sectors or in research. The integrated collaboration in a research group and the connection to the graduate school HGS MathComp favor a direct transition to a doctorate. The international dimension, facilitated by the 4EU+ European University Alliance, offers a unique opportunity for networking and career development on a global scale.